Volume 4 | Issue 4 |

 Abstract

Nymithikinaam kaamyaanaam cha saamidheninaam Vidhana Vivaranam

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Nymithikinaam kaamyaanaam cha saamidheninaam Vidhana Vivaranam

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Creative Commons Attribution 4.0 and The Open Definition

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The Open Government Data initiatives look to promote transparency and accountability of public sectors besides enhancing citizen engagement through free availability public sector data. However, through the integration of cloud computing technologies, the effective use and scalability of OGD initiatives have been very much enhanced. This review paper examines trends and patterns in the adoption of cloud computing for open government data platforms, cognizant of international case studies, technological and policy frameworks that support these efforts, and challenges related to security of data, privacy, interoperability, and governance. The review highlights the advantages of cloud infrastructure, which include scalability, real-time access, cost efficiency, and seamless data sharing, as reasons that have made OGD more accessible to developers, researchers, and citizens. Other emerging trends of OGD include hybrid cloud models, the role of artificial intelligence in processing OGD, and the open data platforms of smart cities. The future discussion will cover research aspects in overcoming technical and policy challenges to make cloud-based OGD solutions more effective

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Open Government Data, Cloud Computing, Transparency, Accountability, Data Security, Hybrid Cloud, Smart Cities, Policy Frameworks, Scalability, Data Governance

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This study examines the role of mass media in the success of the Biogas Programme in Karnataka, which focuses on sustainable energy adoption and rural development. The paper explores how various forms of media, such as television, radio, newspapers, and online platforms, have contributed to promoting and educating people about biogas technology. By sharing knowledge, raising awareness, and educating rural communities, mass media have encouraged participation and adoption. The research combines qualitative media content analysis and quantitative surveys of Biogas Programme beneficiaries, revealing that mass media have positively influenced perceptions and attitudes towards biogas, leading to increased acceptance and implementation. Challenges, such as language barriers and access limitations, are also identified. The study's implications extend globally to other sustainable development initiatives, highlighting the vital role of mass media in their success. Ultimately, the Biogas Programme's achievement is linked to effective communication through mass media, emphasizing collaboration between governments, media, and local communities for successful sustainable development.

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Biogas Programme. Karnataka. Mass media. Success. Sustainable energy. Rural development. Communication. Awareness dissemination. Information sharing. Energy adoption. Waste management. Environmental conservation. Television. Radio. Newspapers. Online platforms.

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Content marketing has become an increasingly crucial strategy for businesses across the board in a bid to engage their customers and foster brand loyalty. However, this exponential increase in online content has reached a point of saturation, whereby consumers are overwhelmed by the deluge of information at their disposal. This paper reviews challenges and opportunities in connection with content marketing in this age of content saturation. It highlights the role of big data in coming up with efficient content strategies that help block out the noise and get through to target audiences. Big data analytics can be utilized in analyzing consumer behavior, preferences, and trends to generate highly personalized and relevant content. The paper further reviews some big data tools and techniques for use in optimizing content creation, distribution, and performance measurement. Furthermore, it identifies and points out the successful case studies of firms that did an exemplary job in harnessing big data to improve their content marketing efforts. Indeed, the research concludes that infusing big data in content strategy formulation is not just useful; it is a requirement to maintain competitive advantage within the jammed digital marketplace.

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Content marketing, content saturation, big data, consumer behavior, personalized content, big data analytics, content strategy, digital marketing, content creation, data-driven marketing.

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AI and robotics have had good integration into disaster response and recovery over the past two years. The research paper focuses on the advancements of AI-powered robots in handling a wide array of disaster scenarios, from natural disasters like earthquakes, floods, and hurricanes to artificial crises involving industrial accidents and terrorist attacks. It reviews state-of-the-art technologies that allow robots to move through treacherous landscapes, perform search and rescue, transport medicine, and participate in restoring infrastructure. They include machine learning algorithms for real-time data processing, autonomous navigation, human-robot interaction, and multi-robot coordination. The paper also explains some challenges and limitations of AI-robotics systems, including ethics issues, logistics, and standardized protocols for deployment. We discuss how case studies and experimental results may point to the potential for AI-powered robots in transforming disaster response and recovery into life-saving and economically remedial activities.

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AI-powered robots, disaster response, disaster recovery, search and rescue, autonomous navigation, machine learning, human-robot interaction, multi-robot coordination, ethical considerations, deployment logistics.

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This study examines the intricate historical fabric of medieval Assam and the crucial influence Persian sources had in influencing the history of medieval period. The article centers on how Persian documents offer distinctive perspectives on the political, cultural, and social aspects of Assam in the Middle Ages, as historical strands intertwine throughout history. Through meticulous analysis, this study aims to shed light on lesser-known facets of Assamese history, revealing the nuanced ways in which Persian influence intersected with and enriched indigenous developments in the region. By exploring Persian sources, the study uncovers how Persian literary, administrative, and historical texts offer unique insights that complement and enhance the indigenous records, leading to a more comprehensive understanding of the medieval Assam. By bringing these obscured aspects to light, the research not only enriches our understanding of Assam's past but also highlights the broader implications of cross-cultural exchanges in the shaping of historical narratives.

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Assam, Persian Documents, Medieval Period, Political Dynamics

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Stock market prediction is one of the toughest tasks in finance and attracts much attention from academia and industry due to huge economic potential. Traditional econometric models dominated the field until recent developments in machine learning introduced new methodologies that capture complex market dynamics. Of these, the RF algorithm has excelled in large data volumes, the ability to model nonlinear relations, and ranking feature variable importance. The paper presents a review on the application of Random Forests in stock market prediction, covering the theoretical foundations of Random Forest, advantages over traditional methods, reviews of empirical studies proving their effectiveness, and challenges and future research directions. It synthesizes how recent literature can help researchers and practitioners use random forests to guide and improve the accuracy of predictions and robustness associated with stock market analysis.

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Stock market prediction, random forest algorithm, machine learning, finance, predictive modeling

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Present government has taken many steps to bring changes in Indian Economy. Among them Digital Banking in Rural Areas in lieu of Digital Banking is very important one. After the central government's demonetization drive, the country is moving towards cashless economy . In this venture , the Government has rightly utilized the digital India campaign to promote digitization. Recently NPCI launched the Unified Payment Interface (UPI), which is expected to make more efficiently through UPI- based-mobile apps. Apart from this opening millions of bank accounts through Jan Dhan Yojana in rural areas and linking bank accounts with Aadhar are the other effective steps taken towards the digital journey of the country.Use of smartphones and mobile is showing a steady increase and demonetization decision is revolutionary in respect of digital payments. This paper is a study to analyse the performance of various measures adopted by banks and government to implement digital banking in rural areas. And this is also an effort to focus on challenges incurred in this process. The study is conducted at Bommarabettu village of Karnataka where three nationalized banks, two co-operative societies and the Gram Panchayath together are concentrating on creating digital banking awareness in rural area. This study helps the government to overcome the problems in this course with new measures.

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Digital banking, Rural Area, Challenges

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Reproductive rights are essential for women to enjoy their human rights. These rights are centered on women's ability to make the best choices for their lives, including around the number of children they have, if any, and the spacing between their children's births. Reproductive rights include prenatal services, safe childbirth, and access to contraception. They also include access to legal and safe abortion. Abortion bans violate the rights to be free from violence, to privacy, to family, to health, and even the right to life. And bans are most devastating for people of color, young people, and marginalized communities, who already have trouble accessing health care and other needed services. Governments should trust women to know what is best for their bodies, their physical and mental health, and their lives.

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Women, Reproduction, Privacy, Right, Abortion, Act, Judiciary, Decisions.

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Food plays a very important role in our day-to-day life. With an increase in globalization quality of food decreases day by day. In most of the time various food processing is done to keep the food fresh. Various preservatives or the ingredients are added in the food so that it looks like fresh or tempting. Now most of the food is preserved with the chemicals which causes the food contamination. This contamination leads to various diseases which results that the consumer want healthy food. The people want organic food for healthy lifestyle. So, to avoid the problems associated with the food without human interpretation we need such a device which helps to determine the quality of food. There is a requirement of such a device which guide us about the hygienic food. Hence to fulfill this consumer demand we made a device that checks whether the quality of food is good or bad. This paper represents the use of various sensors in the field of the food industry. The sensors like pH sensor, gas sensor, temperature sensor help in identifying the condition of food. This system makes an effective presence in restaurants, households, small scale industries. Due to presence of harmful chemicals and microorganisms in food, food contamination will be caused which causes illness to the people. The proposed scheme addresses the chemical contamination of foods, as opposed to microbiological contamination, which can be found under food borne illness. Food poisoning occurs by harmful bacteria on food. Food poisoning can be caused by eating contaminated food with bacteria viruses, chemicals or poisonous metals such as lead or cadmium etc. and including chicken, meat, sea food, eggs, cooked rice, ham, salami, milk and all dairy foods. Bacteria and viruses are the most common cause of food poisoning. Symptoms of food poisoning include Nausea, vomiting, stomach pain feeling weak, fever etc. In order to monitor the food poisoning, the new implementation has been made by using IoT. The monitoring system is based on many embedded sensors like thermostat, odour sensor, biosensor, pH sensor which depend on the out coming electric signals or digital value of the quality factors. In proposed system the biosensor plays a vital role to detect the bacterial contamination in food sample. Based on the combination of the sensor output, quality of the food should be detected which is reported to the health center through IOT.

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Food freshness, Food quality, LCD, Arduino, Moisture sensor, IoT, pH sensor, Temperature sensor, Gas sensor, HACCP, FDA.

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Creative Commons Attribution 4.0 and The Open Definition